239 lines
7.0 KiB
Python
239 lines
7.0 KiB
Python
import time
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from moto.core import BaseBackend, BaseModel
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from moto.core.utils import BackendDict
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from moto.moto_api._internal import mock_random
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from typing import Any, Dict, List, Optional
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class TaggableResourceMixin(object):
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# This mixing was copied from Redshift when initially implementing
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# Athena. TBD if it's worth the overhead.
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def __init__(
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self,
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account_id: str,
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region_name: str,
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resource_name: str,
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tags: List[Dict[str, str]],
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):
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self.region = region_name
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self.resource_name = resource_name
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self.tags = tags or []
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self.arn = f"arn:aws:athena:{region_name}:{account_id}:{resource_name}"
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def create_tags(self, tags: List[Dict[str, str]]) -> List[Dict[str, str]]:
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new_keys = [tag_set["Key"] for tag_set in tags]
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self.tags = [tag_set for tag_set in self.tags if tag_set["Key"] not in new_keys]
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self.tags.extend(tags)
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return self.tags
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def delete_tags(self, tag_keys: List[str]) -> List[Dict[str, str]]:
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self.tags = [tag_set for tag_set in self.tags if tag_set["Key"] not in tag_keys]
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return self.tags
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class WorkGroup(TaggableResourceMixin, BaseModel):
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resource_type = "workgroup"
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state = "ENABLED"
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def __init__(
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self,
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athena_backend: "AthenaBackend",
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name: str,
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configuration: str,
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description: str,
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tags: List[Dict[str, str]],
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):
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self.region_name = athena_backend.region_name
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super().__init__(
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athena_backend.account_id,
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self.region_name,
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"workgroup/{}".format(name),
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tags,
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)
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self.athena_backend = athena_backend
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self.name = name
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self.description = description
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self.configuration = configuration
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class DataCatalog(TaggableResourceMixin, BaseModel):
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def __init__(
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self,
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athena_backend: "AthenaBackend",
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name: str,
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catalog_type: str,
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description: str,
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parameters: str,
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tags: List[Dict[str, str]],
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):
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self.region_name = athena_backend.region_name
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super().__init__(
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athena_backend.account_id,
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self.region_name,
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"datacatalog/{}".format(name),
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tags,
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)
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self.athena_backend = athena_backend
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self.name = name
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self.type = catalog_type
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self.description = description
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self.parameters = parameters
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class Execution(BaseModel):
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def __init__(self, query: str, context: str, config: str, workgroup: WorkGroup):
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self.id = str(mock_random.uuid4())
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self.query = query
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self.context = context
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self.config = config
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self.workgroup = workgroup
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self.start_time = time.time()
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self.status = "QUEUED"
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class NamedQuery(BaseModel):
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def __init__(
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self,
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name: str,
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description: str,
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database: str,
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query_string: str,
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workgroup: WorkGroup,
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):
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self.id = str(mock_random.uuid4())
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self.name = name
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self.description = description
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self.database = database
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self.query_string = query_string
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self.workgroup = workgroup
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class AthenaBackend(BaseBackend):
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def __init__(self, region_name: str, account_id: str):
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super().__init__(region_name, account_id)
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self.work_groups: Dict[str, WorkGroup] = {}
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self.executions: Dict[str, Execution] = {}
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self.named_queries: Dict[str, NamedQuery] = {}
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self.data_catalogs: Dict[str, DataCatalog] = {}
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@staticmethod
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def default_vpc_endpoint_service(
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service_region: str, zones: List[str]
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) -> List[Dict[str, str]]:
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"""Default VPC endpoint service."""
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return BaseBackend.default_vpc_endpoint_service_factory(
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service_region, zones, "athena"
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)
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def create_work_group(
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self,
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name: str,
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configuration: str,
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description: str,
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tags: List[Dict[str, str]],
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) -> Optional[WorkGroup]:
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if name in self.work_groups:
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return None
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work_group = WorkGroup(self, name, configuration, description, tags)
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self.work_groups[name] = work_group
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return work_group
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def list_work_groups(self) -> List[Dict[str, Any]]:
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return [
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{
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"Name": wg.name,
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"State": wg.state,
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"Description": wg.description,
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"CreationTime": time.time(),
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}
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for wg in self.work_groups.values()
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]
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def get_work_group(self, name: str) -> Optional[Dict[str, Any]]:
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if name not in self.work_groups:
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return None
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wg = self.work_groups[name]
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return {
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"Name": wg.name,
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"State": wg.state,
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"Configuration": wg.configuration,
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"Description": wg.description,
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"CreationTime": time.time(),
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}
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def start_query_execution(
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self, query: str, context: str, config: str, workgroup: WorkGroup
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) -> str:
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execution = Execution(
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query=query, context=context, config=config, workgroup=workgroup
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)
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self.executions[execution.id] = execution
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return execution.id
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def get_execution(self, exec_id: str) -> Execution:
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return self.executions[exec_id]
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def stop_query_execution(self, exec_id: str) -> None:
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execution = self.executions[exec_id]
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execution.status = "CANCELLED"
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def create_named_query(
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self,
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name: str,
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description: str,
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database: str,
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query_string: str,
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workgroup: WorkGroup,
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) -> str:
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nq = NamedQuery(
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name=name,
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description=description,
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database=database,
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query_string=query_string,
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workgroup=workgroup,
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)
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self.named_queries[nq.id] = nq
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return nq.id
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def get_named_query(self, query_id: str) -> Optional[NamedQuery]:
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return self.named_queries[query_id] if query_id in self.named_queries else None
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def list_data_catalogs(self) -> List[Dict[str, str]]:
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return [
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{"CatalogName": dc.name, "Type": dc.type}
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for dc in self.data_catalogs.values()
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]
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def get_data_catalog(self, name: str) -> Optional[Dict[str, str]]:
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if name not in self.data_catalogs:
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return None
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dc = self.data_catalogs[name]
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return {
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"Name": dc.name,
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"Description": dc.description,
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"Type": dc.type,
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"Parameters": dc.parameters,
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}
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def create_data_catalog(
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self,
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name: str,
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catalog_type: str,
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description: str,
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parameters: str,
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tags: List[Dict[str, str]],
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) -> Optional[DataCatalog]:
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if name in self.data_catalogs:
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return None
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data_catalog = DataCatalog(
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self, name, catalog_type, description, parameters, tags
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)
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self.data_catalogs[name] = data_catalog
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return data_catalog
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athena_backends = BackendDict(AthenaBackend, "athena")
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